TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
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References
History
No history.
MITRE
Status: PUBLISHED
Assigner: GitHub_M
Published: 2022-09-16T22:55:10
Updated: 2024-08-03T09:51:59.680Z
Reserved: 2022-07-15T00:00:00
Link: CVE-2022-35996
Vulnrichment
No data.
NVD
Status : Modified
Published: 2022-09-16T23:15:10.407
Modified: 2024-11-21T07:12:08.593
Link: CVE-2022-35996
Redhat
No data.